[
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092. DOI: 10.1287/mnsc.30.9.107810.1287/mnsc.30.9.1078
]Search in Google Scholar
[
Barros, C. P., Barroso, N. & Borges, M. R. (2005). Evaluating the efficiency and productivity of insurance companies with a Malmquist Index: A case study for Portugal. The Geneva Papers on Risk and Insurance—Issues and Practice, 30(2): 244–267.
]Search in Google Scholar
[
Barros, C. P., & Garcia, M. T. M. (2006). Performance evaluation of pension funds management companies with data envelopment analysis. Risk Management and Insurance Review, 9(2), 165-188. DOI: 10.1111/j.1540-6296.2006.00092.x10.1111/j.1540-6296.2006.00092.x
]Search in Google Scholar
[
Berger, A. N., & Humphrey, D. B. (1992). Measurement and Efficiency Issues in Commercial Banking. In Z. Griliches (Ed.), Output Measurement in the Service Sectors (pp. 245-300). Cambridge: National Bureau of Economic Research Inc.
]Search in Google Scholar
[
Biener, C., & Eling, M. (2012). Organization and efficiency in the international insurance industry: A cross-frontier analysis. European Journal of Operational Research, 221(2), 454-468. DOI: 10.1016/j.ejor.2012.03.03710.1016/j.ejor.2012.03.037
]Search in Google Scholar
[
Biener, C., Eling, M., & Wirfs, J. H. (2015). Insurability of cyber risk: An empirical analysis. The Geneva Papers on Risk and Insurance-Issues and Practice, 40(1), 131-158. DOI: 10.1057/gpp.2014.1910.1057/gpp.2014.19
]Search in Google Scholar
[
Bowlin, W. F. (1998). Measuring performance: An introduction to data envelopment analysis (DEA). The Journal of Cost Analysis, 15(2), 3-27. DOI: 10.1080/08823871.1998.1046231810.1080/08823871.1998.10462318
]Search in Google Scholar
[
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444. DOI: 10.1016/0377-2217(78)90138-810.1016/0377-2217(78)90138-8
]Search in Google Scholar
[
Charnes, A., Clark, T., Cooper, W. W., and Golany, B. (1985). A development study of data envelopment analysis in measuring the efficiency of maintenance units in the US Air Force. Annals of Operations Research, 2, 95–112.10.1007/BF01874734
]Search in Google Scholar
[
Cooper W. W., Seiford L. M. and K. Tone (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston, MA. Springer.
]Search in Google Scholar
[
Croatian Insurance Bureau. (2019). Insurance Market in the Republic of Croatia 2018 – Key facts. Zagreb: Croatian Insurance Bureau. Retrieved February 23, 2020, from http://huo.hr/eng/publications/50/
]Search in Google Scholar
[
Croatian Financial Services Supervisory Agency. (2019). Statistics. Retrieved January 15, 2020, from https://www.hanfa.hr/publikacije/statistika/
]Search in Google Scholar
[
Croatian National Bank. (2019). Banks Bulletin No. 32. Zagreb: Croatian National Bank. Retrieved January 15, 2020, from https://www.hnb.hr/analyses-and-publications/regular-publications/banks-bulletin
]Search in Google Scholar
[
Cummins, J. D., Tennyson, S., & Weiss, M. A. (1999). Consolidation and efficiency in the US life insurance industry. Journal of banking & Finance, 23(2-4), 325-357. DOI: 10.1016/S0378-4266(98)00089-210.1016/S0378-4266(98)00089-2
]Search in Google Scholar
[
Cummins, J. D. and Rubio-Misas, M. (2006). Deregulation, consolidation, and efficiency: Evidence from the Spanish insurance industry. Journal of Money, Credit, and Banking, 38(2), 323–355. DOI: 10.1353/mcb.2006.002910.1353/mcb.2006.0029
]Search in Google Scholar
[
Cummins, J. D., & Xie, X. (2013). Efficiency, productivity, and scale economies in the US property-liability insurance industry. Journal of Productivity Analysis, 39(2), 141-164. DOI: 10.1007/s11123-012-0302-210.1007/s11123-012-0302-2
]Search in Google Scholar
[
Cummins, J. D., & Weiss, M. A. (2013). Analyzing firm performance in the insurance industry using frontier efficiency and productivity methods. In G. Dionne (Ed.), Handbook of insurance (pp. 795-861). New York: Springer.
]Search in Google Scholar
[
Cummins, J. D., & Zi, H. (1998). Comparison of frontier efficiency methods: An application to the US life insurance industry. Journal of productivity analysis, 10(2), 131-152. DOI: 10.1023/A:102640292236710.1023/A:1026402922367
]Search in Google Scholar
[
Cummins, J. D., & Xie, X. (2013). Efficiency, productivity, and scale economies in the US property-liability insurance industry. Journal of Productivity Analysis, 39(2), 141-164. DOI: 10.1007/s11123-012-0302-210.1007/s11123-012-0302-2
]Search in Google Scholar
[
Diacon, S. R., Starkey, K., & O’Brien, C. (2002). Size and efficiency in European long-term insurance companies: an international comparison. The Geneva Papers on Risk and Insurance. Issues and Practice, 27(3), 444-466. DOI: 10.1111/1468-0440.0018410.1111/1468-0440.00184
]Search in Google Scholar
[
Eling, M., & Luhnen, M. (2010a). Efficiency in the international insurance industry: A cross-country comparison. Journal of Banking & Finance, 34(7), 1497-1509. DOI: 10.1016/j.jbankfin.2009.08.02610.1016/j.jbankfin.2009.08.026
]Search in Google Scholar
[
Eling, M., & Luhnen, M. (2010b). Frontier efficiency methodologies to measure performance in the insurance industry: Overview, systematization, and recent developments. The Geneva Papers on Risk and Insurance-Issues and Practice, 35(2), 217-265. DOI: 10.1057/gpp.2010.110.1057/gpp.2010.1
]Search in Google Scholar
[
Ennsfellner, K. C., Lewis, D., & Anderson, R. I. (2004). Production efficiency in the Austrian insurance industry: a Bayesian examination. Journal of Risk and Insurance, 71(1), 135-159. DOI: 10.1111/j.0022-4367.2004.00082.x10.1111/j.0022-4367.2004.00082.x
]Search in Google Scholar
[
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281. DOI: 10.1111/j.0022-4367.2004.00082.x10.1111/j.0022-4367.2004.00082.x
]Search in Google Scholar
[
Fenn, P., Vencappa, D., Diacon, S., Klumpes, P., & O’Brien, C. (2008). Market structure and the efficiency of European insurance companies: A stochastic frontier analysis. Journal of Banking & Finance, 32(1), 86-100. DOI: 10.1111/j.0022-4367.2004.00082.x10.1111/j.0022-4367.2004.00082.x
]Search in Google Scholar
[
Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 17(3), 237-250. DOI: 10.1016/0305-0483(89)90029-710.1016/0305-0483(89)90029-7
]Search in Google Scholar
[
Grmanová, E., & Pukala, R. (2018). Efficiency of insurance companies in the Czech Republic and Poland. Oeconomia Copernicana, 9(1), 71-85. DOI: 10.24136/oc.2018.00410.24136/oc.2018.004
]Search in Google Scholar
[
Grmanová, E., & Strunz, H. (2017). Efficiency of insurance companies: Application of DEA and Tobit analyses. Journal of International Studies, 10(3), 250-263. DOI: 10.14254/2071-8330.2017/10-3/18.10.14254/2071-8330.2017/10-3/18
]Search in Google Scholar
[
Hrvatski ured za osiguranje. (2019). Tržište osiguranja u Republici Hrvatskoj 2018. Zagreb: Hrvatski ured za osiguranje. Retrieved February 23, 2020, from http://huo.hr/hrv/statisticka-izvjesca/18/
]Search in Google Scholar
[
Hu, X., Zhang, C., Hu, J. L., & Zhu, N. (2009). Analyzing efficiency in the Chinese life insurance industry. Management Research News, 32(10) 2009, 905-920. DOI: 10.1108/01409170910994123
]Search in Google Scholar
[
Huang, W., & Eling, M. (2013). An efficiency comparison of the non-life insurance industry in the BRIC countries. European Journal of Operational Research, 226(3), 577-591. DOI: 10.1016/j. ejor.2012.11.008
]Search in Google Scholar
[
Hussels, S., & Ward, D. R. (2007). The Impact of deregulation on the German and UK life insurance markets: an analysis of efficiency and productivity between 1991-2002. Cranfield University School of Management.
]Search in Google Scholar
[
Iqbal, Q., Awan H. M. (2015). Technical, pure technical and scale efficiency analysis of insurance companies of Pakistan. International Journal of Business and Management Review, 3(4), 82-92.
]Search in Google Scholar
[
Jarzębowski, S. (2013). Parametric and non-parametric efficiency measurement–the comparison of results. Quantitative Methods in Economics -Metody Ilościowe w Badaniach Ekonomicznych, 14(1), 170-179.
]Search in Google Scholar
[
Jeng, V., & Lai, G. C. (2008). The impact of deregulation on efficiency: an analysis of life insurance industry in Taiwan from 1981 to 2004. Risk Management and Insurance Review, 11(2), 349-375. DOI: 10.1111/j.1540-6296.2008.00144.x10.1111/j.1540-6296.2008.00144.x
]Search in Google Scholar
[
Jurčević, B., & Žaja, M. M. (2013). Banks and insurance companies efficiency indicators in the period of financial crisis: The case of the Republic of Croatia. Economic research-Ekonomska istraživanja, 26(1), 203-224. DOI: 10.1080/1331677X.2013.1151759810.1080/1331677X.2013.11517598
]Search in Google Scholar
[
Kader, H. A., Adams, M., & Hardwick, P. (2010). The cost efficiency of takaful insurance companies. The Geneva Papers on Risk and Insurance-Issues and Practice, 35(1), 161-181. DOI: 10.1057/gpp.2009.3310.1057/gpp.2009.33
]Search in Google Scholar
[
Kaffash, S., & Marra, M. (2017). Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds. Annals of Operations Research, 253(1), 307-344. DOI: 10.1007/s10479-016-2294-110.1007/s10479-016-2294-1
]Search in Google Scholar
[
Klumpes, P. J. (2004). Performance benchmarking in financial services: evidence from the UK life insurance industry. The Journal of Business, 77(2), 257-273.10.1086/381281
]Search in Google Scholar
[
Knežević, S., Marković, M., & Brown, A. (2015). Measuring the efficiency of Serbian insurance companies. Acta Oeconomica, 65(1), 91-105. DOI: 10.1556/AOecon.65.2015.1.510.1556/aoecon.65.2015.1.5
]Search in Google Scholar
[
Kordić, L., Šimundić, B. (2017). Health tourism in Croatia – Questioning the efficiency of special hospitals and natural spas. International Conference Challenges of Europe: Innovative Responses for Resilient Growth and Competitiveness, May 2017 (pp. 417-432). Split, Croatia: Faculty of Economics, Business and Tourism.
]Search in Google Scholar
[
Lukic, R., Sokic, M., & Vojteski Kljenak, D. (2018). Analysis of insurance companies’ efficiency in the Republic of Serbia. Economic and Environmental Studies, 18(1), 249-264. DOI: 10.25167/ees.2018.45.1410.25167/ees.2018.45.14
]Search in Google Scholar
[
Lo, F. Y., Chien, C. F., & Lin, J. T. (2001). A DEA study to evaluate the relative efficiency and investigate the district reorganization of the Taiwan power company. IEEE Transactions on Power Systems, 16(1), 170-178.10.1109/59.910794
]Search in Google Scholar
[
Mahlberg, B., & Url, T. (2003). Effects of the single market on the Austrian insurance industry. Empirical Economics, 28(4), 813-838. DOI: 10.1007/s00181-003-0164-610.1007/s00181-003-0164-6
]Search in Google Scholar
[
Mahlberg, B., & Url, T. (2010). Single Market effects on productivity in the German insurance industry. Journal of Banking & Finance, 34(7), 1540-1548. DOI: 10.1016/j.jbankfin.2009.09.00510.1016/j.jbankfin.2009.09.005
]Search in Google Scholar
[
Mandić, K., Delibašić, B., Knežević, S., & Benković, S. (2017). Analysis of the efficiency of insurance companies in Serbia using the fuzzy AHP and TOPSIS methods. Economic research – Ekonomska istraživanja, 30(1), 550-565. DOI: 10.1080/1331677X.2017.1305786.10.1080/1331677X.2017.1305786
]Search in Google Scholar
[
Medved, D., & Kavčič, S. (2012). An empirical study of efficiency in Croatia and Slovenia insurance markets. Economic research – Ekonomska istraživanja, 25(1), 87-98. DOI: 10.1080/1331677X.2012.1151749610.1080/1331677X.2012.11517496
]Search in Google Scholar
[
Micajkova, V. (2015). Efficiency of Macedonian insurance companies: A DEA approach. Journal of Investment and Management, 4(2), 61-67. DOI: 10.11648/j.jim.20150402.1110.11648/j.jim.20150402.11
]Search in Google Scholar
[
Mogha, S. K., Yadav, S. P., & Singh, S. P. (2014). Estimating technical and scale efficiencies of private hospitals using a non-parametric approach: case of India. International Journal of Operational Research, 20(1), 21-40. DOI: 10.1504/IJOR.2014.06051510.1504/IJOR.2014.060515
]Search in Google Scholar
[
Noreen, U., & Ahmad, S. (2016). Cost Efficiency and Total Factor Productivity: An Empirical Analysis of Pakistan’s Insurance Sector. The Lahore Journal of Economics, 21 (1), 123–150. DOI: 10.35536/lje.2016.v21.i1.a510.35536/lje.2016.v21.i1.a5
]Search in Google Scholar
[
Özcan, Y. A. (2008). Health Care Benchmarking and Performance Evaluation: An Assessment Using Data Envelopment Analysis. New York, NY. Springer.
]Search in Google Scholar
[
Paradi, J. C., Sherman, H. D., & Tam, F. K. (2018). Data Envelopment Analysis in the Financial Service Industry: A guide for practitioners and analysts working in Operations Research using DEA. Cham. Springer.
]Search in Google Scholar
[
Rees, R., & Kessner, E. (1999). Regulation and efficiency in European insurance markets. Economic Policy, 14(29), 364-397. DOI: 10.1111/1468-0327.0005310.1111/1468-0327.00053
]Search in Google Scholar
[
Ryan Jr, H. E., & Schellhorn, C. D. (2000). Life insurer cost efficiency before and after implementation of the NAIC-risk based capital standards. Journal of Insurance Regulation, 18(3), 362-384.
]Search in Google Scholar
[
Shim, J. (2011). Efficiency Changes Around Mergers in the US Property-Liability Insurance Industry: A Data Envelopment Analysis. Journal of Business & Economic Studies, 17(2), 77-96.
]Search in Google Scholar
[
Škrinjarić, T. (2016). Analiza relativne efikasnosti industrije osiguranja europskih zemalja korištenjem analize omeđivanja podataka. Ekonomski pregled, 67(1), 3-26.10.32910/ep.72.1.1
]Search in Google Scholar
[
Taib, C. A., Ashraf, M. S., & Razimi, M. S. B. A. (2018). Technical, Pure Technical and Scale Efficiency: A Non-Parametric Approach of Pakistans Insurance and Takaful Industry. Academy of Accounting and Financial Studies Journal, 22(1), 1-11.
]Search in Google Scholar
[
Tone, K., & Sahoo, B. K. (2005). Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis. Socio-Economic Planning Sciences, 39(4), 261-285. DOI: 10.1016/j.seps.2004.06.00110.1016/j.seps.2004.06.001
]Search in Google Scholar
[
Turchetti, G., & Daraio, C. (2004). How deregulation shapes market structure and industry efficiency: The case of the Italian motor insurance industry. The Geneva Papers on Risk and Insurance. Issues and Practice, 29(2), 202-218. DOI: 10.1111/j.1468-0440.2004.00282.x10.1111/j.1468-0440.2004.00282.x
]Search in Google Scholar
[
Wang, C. N., Nguyen, N. T., & Tran, T. T. (2015). Integrated DEA models and grey system theory to evaluate past-to-future performance: a case of Indian electricity industry. The Scientific World Journal, 2015. 1–17. DOI: 10.1155/2015/63871010.1155/2015/638710
]Search in Google Scholar
[
Wanke, P., & Barros, C. P. (2016). Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach. Economic Modelling, 53, 8-22. DOI: 10.1016/j.econmod.2015.11.005.10.1016/j.econmod.2015.11.005
]Search in Google Scholar